A streaming implementation of transform and quantization in h.264

Authors:
Haiyan Li;Chunyuan Zhang;Li Li;Ming Pang
Affiliations:
School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China;School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China;School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China;School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China
Venue:
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
Year:
2006

Citing 6
Cited 1

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The Imagine Stream Processor

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A 2-D Forward/Inverse Integer Transform Processor of H.264 Based on Highly-parallel Architecture

IWSOC '04 Proceedings of the System-on-Chip for Real-Time Applications, 4th IEEE International Workshop
A parallel reed-solomon decoder on the imagine stream processor

ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
Low-complexity transform and quantization in H.264/AVC

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Transform coding on programmable stream processors

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Abstract

The H.264 video coding standard uses a 4*4 multiply-free integer transform, minimizing computational complexity. The emerging programmable stream architecture provides a powerful mechanism to achieve high performance in media processing and signal processing. This paper analyzes the algorithm characteristics of transform and quantization in H.264 and presents a streaming implementation of transform and quantization on Imagine stream processor. We evaluate our implementation on a cycle-accurate simulator of Imagine and demonstrate stream processing efficiency by comparing its performance against other implementations. Experimental results show that our streaming implementation deals with transform and quantization of a 4*4 block in 6.875ns. The coding efficiency can satisfy the real-time requirement of current video applications.